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EDU Crowdsale WHITEPAPER

June 25, 2015

The Open Source University team is building first of its kind platform based on the Ethereum blockchain technology that will bring transparency between businesses, academia and learners. Our goal is to solve most of the currently existing problems for these three parties by connecting them on an entirely new level. Our aim is to address actual significant problems for businesses, learners and the educational system, as it is now, by introducing our distributed application platform. It solves problems like scalability, shortage of candidates with relevant education and experience, rarely measured employee engagement, poor candidate experience, the role of recruitment organizations and job marketplace as middlemen between candidates and businesses and many more. Blockchain technology gives us the opportunity to store a candidate’s academic achievements and certifications. This will make them trustworthy and easy for automatic distribution to all businesses and organizations.

Spotlight

Findability Sciences

Findability Sciences applies the power of big data, cognitive computing, and artificial intelligence (AI) in its core product: the award winning Findability Platform®. The Findability Platform makes use of its proprietary technologies to add context to data and incorporates self-learning capabilities to deliver turnkey solutions to major global corporations in the insurance, retail, manufacturing, financial services, trading, healthcare, and transportation industries.

OTHER WHITEPAPERS

Active Data Governance Methodology

whitePaper | February 10, 2022

Modern data governance leaders are searching for the role that governance should play in delivering high-quality data.

Evolving Role of Data Scientist in the Age of Personalization

whitePaper | March 12, 2020

This point of view is an exploration of the possibilities engendered by rethinking the role of data scientists in the wake of industrial revolution. It might be claimed that current trends in industrial revolution reflect a paradigm shift towards data centric processing with data science playing an increasingly critical role. This point of view also explicitly highlights the potential role of Data scientists as an emerging phenomenon, and then to show some of the benefits that this role can bring as we move towards industrial disruption

The Evolution of Data 3.0

whitePaper | October 17, 2022

Today, massive amounts of data are collected, processed, and stored for a range of analytical purposes around the world. Every customer, device, transaction, email, and image leaves a data trail. At present, this data is growing too big, changing too fast, and becoming hyper distributed. The traditional ways of doing integration and analytics are no longer viable or scalable. It is not feasible to create millions of data pipelines and to continue moving large amounts of raw data to a data lake or a centralized data warehouse.

Building Data Products: The Ultimate How-To Guide

whitePaper | November 18, 2022

It’s time to treat data like a product, not an afterthought. A new paradigm has emerged among forward-thinking data teams: treat your data like a product. This may sound easy in theory, but it’s far from it! Product development processes have become incredibly sophisticated, with resources dedicated to reliability, adoption, feature roadmaps, and more.

SaaS and The Evolution of Cloud-Based Data Management

whitePaper | December 21, 2022

The evolution of cloud-based technology is continuing to reshape the data management landscape. As data volumes increase, users in different industries are demanding flexible, scalable processes that enable them to leverage a wider variety of sources, uncover new insights and confidently make decisions that will drive their businesses forward.

EDU Crowdsale WHITEPAPER